Clemens Hörtenhuemer and Eva Zangerle: A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter. In Proceedings of the International Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece, pages 22-25. 2020.
Publications
full list for printing2020
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso and others: Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. In International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2020), pages 372-383. 2020.
Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast and Benno Stein: Overview of the style change detection task at PAN 2020. In CLEF 2020 Working Notes, CEUR Workshop Proceedings 2696, Paper 256. 9 S. 2020
Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro Melchiorre and Markus Schedl: Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19. In Proceedings of the 21st International Society for Music Information Retrieval Conference 2020 (ISMIR 2020), pages 157-165. 2020
2019
Asir Saeed, Suzana Ilic and Eva Zangerle: Creating GANs for generating poems, lyrics and metaphors. In NeurIPS Machine Learning for Creativity and Design Workshop, 2019
Michael Tschuggnall, Benjamin Murauer and Günther Specht: Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 951-960. Association for Computational Linguistics, 2019
Eva Zangerle, Ramona Huber, Michael Vötter and Yi-Hsuan Yang: Hit Song Prediction: Leveraging Low- and High-Level Audio Features. In Proceedings of the 20th International Society for Music Information Retrieval Conference 2019 (ISMIR 2019), pages 319-326. 2019
Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann and Eva Zangerle: Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings, vol. 11696, pages 402-416.
Christine Bauer and Eva Zangerle: Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. In Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019). ceur-ws.org, 2019
Eva Zangerle, Michael Tschuggnall, Günther Specht, Martin Potthast and Benno Stein: Overview of the Style Change Detection Task at PAN 2019. In CLEF 2019 Labs and Workshops, Notebook Papers. CEUR-WS.org, 2019
Benjamin Murauer and Günther Specht: Generating Cross-Domain Text Classification Corpora from Social Media Comments. In 20th Conference and Labs of the Evaluation Forum (CLEF'2019), pages 114-125. Springer International Publishing, 2019
S Coassin, S Schönherr, H Weissensteiner, G Erhart, S Di Maio, L Forer, C Lamina, A Peters, B Thorand, KU Eckardt and others: A Comprehensive Map Of The Variability In The Lipoprotein (A) Kiv 2 Repeat Region And Follow-Up Of The Kiv-2 Arg20ter Mutation In 11,000 Individuals. In Atherosclerosis, vol. 287, pages e58. Elsevier, 2019
Manuel Schmidt and Eva Zangerle: Article Quality Classification on Wikipedia: Introducing Document Embeddings and Content Features. In Proceedings of the 15th International Symposium on Open Collaboration, OpenSym 2019, Skövde, Sweden, August 20-22, 2019, pages 13:1-13:8. ACM, 2019
Maximilian Mayerl, Michael Vötter, Eva Zangerle and Günther Specht: Language Models for Next-Track Music Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 15-19. 2019
Michael Vötter, Eva Zangerle, Maximilian Mayerl and Günther Specht: Autoencoders for Next-Track-Recommendation. In Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, Germany, June 11-14, 2019., pages 20-25. 2019
Michael Tschuggnall, Thibault Gerrier and Günther Specht: StyleExplorer: A Toolkit for Textual Writing Style Visualization. In Proceedings of the 41th European Conference on Information Retrieval (ECIR 2019): Advances in Information Retrieval, pages 220-224. Springer International Publishing, 2019
Johannes Kessler, Michael Tschuggnall and Günther Specht. RelaX: A Webbased Execution and Learning Tool for Relational Algebra. In Proceedings of the 18th Fachtagung des GI-Fachbereichs Datenbanksysteme für Business, Technologie und Web (BTW), March 2019, Rostock, LNI, pages 503-506, 2019
Georg Fröch, Werner Gächter, Arnold Tautschnig and Günther Specht: Merkmalserver im Open-BIM-Prozess. In Bautechnik. 2019
Gerald Hiebel, Klaus Hanke, Claudia Posch, Gerhard Rampl, Elisabeth Gruber, Andrea Mussmann and Eva Zangerle: Zur Identifikation und Verortung von Bergnamen in alpiner Literatur. In 20. Internationale Geodätische Woche Obergurgl 2019, pages 91-100. VDE Verlag, 2019
Stefan Coassin, Sebastian Schönherr, Hansi Weissensteiner, Gertraud Erhart, Lukas Forer, Jamie Lee Losso, Claudia Lamina, Margot Haun, Gerd Utermann, Bernhard Paulweber, Günther Specht and Florian Kronenberg: A comprehensive map of single-base polymorphisms in the hypervariable LPA kringle IV type 2 copy number variation region. In Journal of Lipid Research, vol. 60, no. 1, pages 186-199. 2019
Hsiao-Tzu Hung, Yu-Hua Chen, Maximilian Mayerl, Michael Vötter, Eva Zangerle and Yi-Hsuan Yang: MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach. In Working Notes Proceedings of the MediaEval 2019 Workshop. ceur-ws.org, 2019.
Maximilian Mayerl, Michael Vötter, Hsiao-Tzu Hung, Boyu Chen, Yi-Hsuan Yang and Eva Zangerle: Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks. In Working Notes Proceedings of the MediaEval 2019 Workshop. ceur-ws.org, 2019.
2018
Eva Zangerle and Martin Pichl: Content-based User Models: Modeling the Many Faces of Musical Preference. In Proceedings of the 19th International Society for Music Information Retrieval Conference 2018 (ISMIR 2018), pages 709-716. 2018